James McCool commited on
Commit
5d189ce
·
1 Parent(s): 91652d3

Addressing salary scaling issues

Browse files
Files changed (1) hide show
  1. database_queries.py +4 -0
database_queries.py CHANGED
@@ -72,6 +72,7 @@ def init_nfl_baselines(type_var: str, site_var: str, slate_var: str):
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  raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_nfl_team_names, right_nfl_name_teams)), na_action='ignore').fillna(raw_display['Player'])
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  # load_display = raw_display[raw_display['Position'] != 'K']
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  dk_sd_roo_raw = raw_display.dropna(subset=['Median'])
 
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  dk_sd_id_map = dict(zip(dk_sd_roo_raw['Player'], dk_sd_roo_raw['player_id']))
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@@ -84,6 +85,7 @@ def init_nfl_baselines(type_var: str, site_var: str, slate_var: str):
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  raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_nfl_team_names, right_nfl_name_teams)), na_action='ignore').fillna(raw_display['Player'])
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  # load_display = raw_display[raw_display['Position'] != 'K']
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  fd_sd_roo_raw = raw_display.dropna(subset=['Median'])
 
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  fd_sd_id_map = dict(zip(fd_sd_roo_raw['Player'], fd_sd_roo_raw['player_id']))
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@@ -464,6 +466,8 @@ def init_nba_baselines(type_var: str, site_var: str, slate_var: str):
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  fd_sd_id_map = dict(zip(fd_sd_roo_raw['Player'], fd_sd_roo_raw['player_ID']))
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  fd_sd_roo_raw['player_ID'] = fd_sd_roo_raw['player_ID'].astype(str)
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  fd_sd_roo_raw['player_ID'] = fd_sd_roo_raw['player_ID'].str.rsplit('-', n=1).str[0].astype(str)
 
 
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  dk_sd_roo_raw = dk_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'timestamp', 'site'])
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  fd_sd_roo_raw = fd_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'timestamp', 'site'])
 
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  raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_nfl_team_names, right_nfl_name_teams)), na_action='ignore').fillna(raw_display['Player'])
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  # load_display = raw_display[raw_display['Position'] != 'K']
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  dk_sd_roo_raw = raw_display.dropna(subset=['Median'])
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+ dk_sd_roo_raw['Salary'] = dk_sd_roo_raw['Salary'] / 1.5
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  dk_sd_id_map = dict(zip(dk_sd_roo_raw['Player'], dk_sd_roo_raw['player_id']))
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  raw_display['Player'] = raw_display['Player'].map(dict(zip(wrong_nfl_team_names, right_nfl_name_teams)), na_action='ignore').fillna(raw_display['Player'])
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  # load_display = raw_display[raw_display['Position'] != 'K']
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  fd_sd_roo_raw = raw_display.dropna(subset=['Median'])
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+ fd_sd_roo_raw['Salary'] = fd_sd_roo_raw['Salary'] / 1.5
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  fd_sd_id_map = dict(zip(fd_sd_roo_raw['Player'], fd_sd_roo_raw['player_id']))
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  fd_sd_id_map = dict(zip(fd_sd_roo_raw['Player'], fd_sd_roo_raw['player_ID']))
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  fd_sd_roo_raw['player_ID'] = fd_sd_roo_raw['player_ID'].astype(str)
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  fd_sd_roo_raw['player_ID'] = fd_sd_roo_raw['player_ID'].str.rsplit('-', n=1).str[0].astype(str)
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+ dk_sd_roo_raw['Salary'] = dk_sd_roo_raw['Salary'] / 1.5
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+ fd_sd_roo_raw['Salary'] = fd_sd_roo_raw['Salary'] / 1.5
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  dk_sd_roo_raw = dk_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'timestamp', 'site'])
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  fd_sd_roo_raw = fd_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'timestamp', 'site'])